Luda

@ludarep

183 Following

73 Followers

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GM replyguys, time for a USDC raindrop (followers only)

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Advanced Task Execution: Supports distributed training, hyperparameter tuning, and inference jobs. Automation-Driven: Automatically performs cost-saving actions, including scaling down idle instances. Real-Time Insights: Deep integration with Claude Desktop, offering real-time logs and GPU temperature monitoring. 📦 Developer Access Fully open with a demo and source code available on GitHub. Designed to empower developers to build autonomous agents for intelligent compute orchestration.

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MAY UPDATE FOR @hyperbolic_labs 🔍 Hyperbolic Community Growth & May Product Launches 📈 Community Growth Highlights Developer Reach The Hyperbolic community now serves 195,000+ developers, leveraging its inference services and GPU rental platform — a strong signal of expanding adoption and trust. GPU Utilization With 6,600+ GPU rentals and over 81,900 GPU hours logged, the platform demonstrates high engagement and the infrastructure to support varied and intensive AI workloads. Community Impact This surge is driven by Hyperbolic’s community of innovators, collaboratively advancing the frontier of decentralized AI compute. 🚀 May Product Launches & Strategic Integrations 🧠 MCP Server (Model Context Protocol Server) Natural Language Control: The first platform enabling LLMs to manage GPU resources using natural language instructions.

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📈 Traction You Can’t Ignore 316,600+ followers on X #3 on Kaito AI Chain Leaderboard. Novastro isn’t just promising but they're executing. If you're looking for actual utility in a sea of noise, Novastro is the blueprint. And if you're stacking conviction plays, now’s the time to pay attention. More utility-heavy projects to watch? That’s a thread for another day. But spoiler: RWAfi is just getting started.

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🤖 AI + Compliance: The Novastro Superpower The real differentiator? Novastro hybrid SPVs (Special Purpose Vehicles) AI-powered engines that automate legal compliance. These smart modules generate fully compliant, tokenized assets in minutes, eliminating the friction most chains haven’t solved. ⚙️ Under the Hood: Tech & Partnerships That Matter Built on MoveVM for safe smart contracts. Secured by EigenLayer, offering Ethereum-grade reliability. Interoperability with EVM & Aptos, enabling seamless cross-chain liquidity. But tech alone isn’t the full story. Strategic partnerships are where things heat up: 🎨 @Rwa_NOVA for tokenizing fine art. 📊 @RedStone_Oracle for accurate, real-time asset pricing. 💧 $100M Liquidity Injection from Web3Port (Feb 2025), ensuring tight spreads and low slippage for RWA trading.

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Why Novastro Isn’t Just Another AI Chain And the Utility Plays You Shouldn’t Sleep On Cutting through the noise: @Novastro_xyz is not your average AI chain trying to ride the hype cycle. Here’s why Novastro is quietly building one of the most important ecosystems in RWA tokenization and a few other utility-focused gems worth bookmarking. 🌐 Novastro: Built for the Real World, Not Just Hype Novastro is a Layer 3 blockchain engineered specifically for Real-World Asset finance (RWAfi). While most “AI chains” push vague narratives, Novastro delivers with surgical focus unlocking tokenized access to real estate, gold, art, and more. This isn’t theory. It’s trillion dollar potential entering DeFi. Let’s break it down: 🪙 $RUSD ___ An asset-backed stablecoin providing real-world stability for traders. ⚙️ $NOVAS ___ The fuel behind staking rewards and on-chain yield generation. Together, they create a dual-token system designed with actual investor incentives not just hype economics.

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Hyperbolic text models process over 112 billion tokens monthly, offer zero data retention, and support OpenAI compatible APIs, giving developers the flexibility and security they need. Whether you're just entering the Web3 space or are a seasoned builder, these models provide a scalable, privacy-first foundation for next-gen AI development.

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The last on the list DeepSeek-Coder-V2-Instruct (Merged with DeepSeek-V2-Chat) This powerful model combines the best of DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct, forming a top-tier large language model tailored for code. With hyperbolic enhanced reasoning, it excels at understanding the hierarchical structure of programming logic making it an ideal tool for Web3 developers building smart contracts, automating workflows, or rapidly prototyping dApps. Built within hyperbolic cutting-edge ecosystem, it benefits from the use of @hyperbolic_labs space, which captures relational and hierarchical data more effectively than traditional Euclidean embeddings. The result is greater context-awareness and precision across technical and creative tasks.

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The last on the list DeepSeek-Coder-V2-Instruct (Merged with DeepSeek-V2-Chat) This powerful model combines the best of DeepSeek-V2-Chat and DeepSeek-Coder-V2-Instruct, forming a top-tier large language model tailored for code. With hyperbolic enhanced reasoning, it excels at understanding the hierarchical structure of programming logic making it an ideal tool for Web3 developers building smart contracts, automating workflows, or rapidly prototyping dApps. Built within hyperbolic cutting-edge ecosystem, it benefits from the use of @hyperbolic_labs space, which captures relational and hierarchical data more effectively than traditional Euclidean embeddings. The result is greater context-awareness and precision across technical and creative tasks.

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The results? 20% boost in engagement in one week Lightning-fast responses powered by Hyperbolic’s infrastructure (112B tokens/month, 195K+ devs) No blockchain experience needed, thanks to seamless Vercel sync But the real magic? Virtuals. I launched a co-owned AI agent using the $VIRTUAL token, letting customers help govern and earn from it. Suddenly, my store wasn’t just a shop it became a community. Hyperbolic helped me leap from Web2 limitations to a decentralized future secure, scalable, and creator-first. I’m all in.

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How Hyperbolic Transformed My Web2 Business in Germany Hey @Ludarep, I’m Hänsel a 30-years old Web2 dev from Berlin and I’ve got a story you need to hear. Not long ago, I was sitting in my Kreuzberg apartment, sipping schwarzer Kaffee, feeling stuck. My small e-commerce store selling handmade German ceramics was lost in the noise. High platform fees and invasive data policies were killing my margins and my motivation. Then I discovered @hyperbolic_labs on X. Hyperbolic opened the door to Web3 without the usual friction. Their serverless inference platform let me integrate AI into my site using OpenAI-compatible APIs. In minutes, I had a privacy-first chatbot powered by DeepSeek latest reasoner LLM fully GDPR-compliant with zero data retention.

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Fleek is building a next-gen platform for AI agents and virtual influencers, known as an “agentic cloud” that automates content creation, engagement, and monetization. Their partnership with @0xIntuition brings trust and transparency through onchain profiles essential for verifying the identity and credibility of virtual influencers in Web3. This vision aligns with @fleek mission to transform the creator economy from manual tools (camera, apps, hustle) to automated, scalable systems (virtual characters, AI agents, and smart monetization). @fleek redesigned UI is in the works to simplify virtual influencer creation. Partnerships like @StoryProtocol focus on onchain IP management for AI-generated content. $FLK token is coming Q3 Be Bullish on @fleek Stay Bullish Always

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What sealed the deal for Sarah was the community. Hyperbolic wasn’t just a platform it was a movement. She joined their 100,000+ developer network, earned $5 in credits through referrals, and even got to collaborate with Stanford researchers on a real world AI project. Now, her startup is thriving. And according to her, she owes it all to Hyperbolic the platform that made AI truly accessible for builders like her.

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@hyperbolic_labs decentralized network had more than 10,000 GPUs available, and Sarah became one of over 195,000 developers using their infrastructure, which pushes 112 billion tokens monthly. But here’s where it got even more impressive <> she integrated Hyperbolic x402 payment protocol with Coinbase. That meant her chatbot powered by Hyperbolic inference API could autonomously pay for its own compute from a crypto wallet with No API keys needed. No billing dashboards. Just smooth, permissionless deployment. All this while Sarah sipped palm wine and watched the Lagos sunset. While the chatbot delivered empathetic, context-aware and was reliable. Her small business clients loved it. Contracts started rolling in.

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This is Sarah a 24 years old based in Lagos, Nigeria. She studied computer science and had always dreamed of building an AI startup to help small businesses with affordable customer service chatbots. But by April 2025, as a bootstrapped founder, she hit a wall. GPU costs were sky high, and training her own models felt out of reach. Then she found Hyperbolic. It was a humid Saturday evening in April , at exactly 6:29 PM WAT when she first logged into Hyperbolic platform after seeing a post from @Ludarep on X. At first, she was skeptical. But then she saw the GPU Marketplace. For just $0.99/hour, she rented an H100 GPU something she’d only dreamed of affording before. Within hours, she had trained a LLaMA model on over 1 million tokens of customer service data. The same process would’ve cost her hundreds of dollars on AWS.

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Tip me some noice

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Yo can we see Farcaster being use by Kaito or snap for max adoption since we all need decentralized platform

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I genuinely think Farcaster needs to find its edge in this whole yapping game. If it can crack that, adoption will follow naturally. Whatever algorithm they build, its core purpose should be to surface unique, standout content that’s what will set Farcaster apart

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So With 112 billion tokens processed monthly, For serious experimentation and learning Hyperbolic actually stands out. They also have a strong community that elevates learning which really sets it apart with academic partnerships, like the one with Stanford. I joined their referral program, earned free compute credits, and collaborated with other students on a group project about autonomous AI agents. It felt like having a fully equipped virtual lab right from my laptop.

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